Doctorant : Loïc Pérennou, Cnam/Outscale Date et lieu: 23 octobre à 14h en salle 17.2.20, 2 rue Conté, 75003 Paris. Titre: Design de l’expérience des machines virtuelles: Allocation de ressources prédictive pour les infrastructures cloud. Composition du jury : Daniel Hagimont
Recent publications
- GNN graph structures in network anomaly detection
- Taxonomy of the Scientific Domain of Smart Life
- Intent-Based Qualification of Industry 4.0 Components
- Joint Optimization for Anti-jamming Communication with UAV-carried Intelligent Reflecting Surface
- Line-rate Botnet Detection with SmartNIC-Embedded Feature Extraction
- Proceedings of the 3rd International Conference on 6G Networking (6GNet 2024)
- FLADxG: Federated Learning Based Anomaly Detection Framework for xG Systems
- Function Placement for In-network Federated Learning
- Proceedings of the 2024 International Conference on the Network of the Future
- Data Pipeline System Designs for In-network Learning
- Experiences with disaggregated RAN integrations
- Non-Terrestrial Disaggregated RAN: Prospective Architectures and Performance Insights
- The complexity of the perfect matching‐cut problem
- Comprehensive Survey on Vehicular Communication Security
- A Fuzzy-Based Greedy Behaviour Attack Detection Approach in VANETs
